servers

Data centers are dedicated facilities containing computers and their related hardware equipment such as servers, data storage drives, and network equipment; they are the physical facilities that store digital data. Data centers are one of the most energy-intensive building types, consuming 10 to 50 times more energy per floor space than a typical commercial office building. With the explosive growth of artificial intelligence technology, data center energy use is expanding rapidly.

A new report by the Department of Energy’s Lawrence Berkeley National Laboratory outlines the energy use of data centers from 2014 to 2028. The report estimates that data center load growth has tripled over the past decade and is likely to double or triple again by 2028.

Data centers consumed about 4.4% of total U.S. electricity in 2023 and are projected to consume between 6.7% and 12% of total U.S. electricity by 2028. Most of the increased power demand of data centers is due to the growth in AI servers. Artificial intelligence requires increasingly powerful chips and intense, power-hungry cooling systems.

There have been revolutionary changes in artificial intelligence technology in just the past couple of years and its role in society has dramatically expanded. With that expansion has come a dramatic change in the energy usage by the data industry and innovative solutions are needed to allow data centers to meet their growing demand for energy.

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Berkeley Lab Report Evaluates Increase in Electricity Demand from Data Centers

Photo, posted August 31, 2024, courtesy of Aileen Devlin / Jefferson Lab via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio

We hear a lot about artificial intelligence these days. ChatGPT has found its way into education, technology, and many other aspects of life. It and its brethren are a source of fascination, enthusiasm, and even fear. Many of us have given queries to the bot to see what kind of results we can obtain. But a recent study has found out something about AI systems that we probably didn’t know – they use up lots of fresh water.

According to researchers at the University of California, Riverside, running a few dozen queries on ChatGPT uses up about half a quart of fresh water from already overtaxed reservoirs.

Running artificial intelligence systems like ChatGPT relies on cloud computations done in racks of servers in warehouse-sized data processing centers. Google’s data centers in the U.S. alone consumed nearly 3.5 billion gallons of fresh water in 2021 in order to keep their servers cool.

Data processing centers consume water in two ways. They often draw much of their electricity from power plants that use large cooling towers that convert water into steam emitted into the atmosphere. In addition, the servers themselves need to be cooled to keep running and are typically connected to cooling towers as well.

It isn’t going to be easy for AI systems to reduce their water use. The study’s authors noted that people make use of AI at all hours of the day and night. But a significant amount of AI activity is actually the training of the systems. That could be scheduled for the cooler hours, when less water is lost to evaporation.

In an era of scarce fresh water and droughts, it is important to make AI less thirsty.

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AI programs consume large volumes of scarce water

Photo, posted May 22, 2023, courtesy of Jernej Furman via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio